Triple
T32306247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hsinbyume Pagoda |
E825377
|
entity |
| Predicate | topTerraceFeature |
P33958
|
FINISHED |
| Object | small shrine |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: small shrine | Statement: [Hsinbyume Pagoda, topTerraceFeature, small shrine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topTerraceFeature Context triple: [Hsinbyume Pagoda, topTerraceFeature, small shrine]
-
A.
hasTerrace
Indicates that one entity includes, features, or is equipped with a terrace as part of its structure or property.
-
B.
roofFeature
Indicates that one entity is a feature, element, or characteristic that is part of or associated with a roof.
-
C.
hasBalconyOrTerrace
Indicates that an entity includes or is associated with a balcony or a terrace as part of its features.
-
D.
numberOfTerraces
Indicates the total count of terraces associated with a given entity.
-
E.
hasTopFloorFeature
chosen
Indicates that a building’s top floor possesses a specific feature, attribute, or amenity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f349115304819084ee91d345b6c8aa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bd81235081908c0748dfd5db5039 |
completed | May 3, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:45 a.m.